Rolf Sundberg

1.8k total citations
54 papers, 1.0k citations indexed

About

Rolf Sundberg is a scholar working on Statistics and Probability, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Rolf Sundberg has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 14 papers in Analytical Chemistry and 8 papers in Artificial Intelligence. Recurrent topics in Rolf Sundberg's work include Advanced Statistical Methods and Models (15 papers), Spectroscopy and Chemometric Analyses (13 papers) and Advanced Statistical Process Monitoring (7 papers). Rolf Sundberg is often cited by papers focused on Advanced Statistical Methods and Models (15 papers), Spectroscopy and Chemometric Analyses (13 papers) and Advanced Statistical Process Monitoring (7 papers). Rolf Sundberg collaborates with scholars based in Sweden, Denmark and Germany. Rolf Sundberg's co-authors include Marie Linder, Philip J. Brown, G. Niklas Norén, I. Ralph Edwards, Andrew Bate, Anders Moberg, Eva B. Vedel Jensen, Mårten Vågerö, Lina Emilsson and Elena Jazin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Gastroenterology.

In The Last Decade

Rolf Sundberg

53 papers receiving 966 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rolf Sundberg Sweden 17 347 298 139 122 100 54 1.0k
Ildiko E. Frank United States 17 606 1.7× 213 0.7× 199 1.4× 472 3.9× 23 0.2× 31 2.1k
David L. Duewer United States 24 303 0.9× 64 0.2× 161 1.2× 656 5.4× 27 0.3× 116 1.7k
Christopher D. Brown United States 12 279 0.8× 39 0.1× 52 0.4× 154 1.3× 20 0.2× 23 766
E. A. Sylvestre United States 11 726 2.1× 211 0.7× 393 2.8× 163 1.3× 4 0.0× 15 1.5k
S. De Jong Netherlands 18 776 2.2× 94 0.3× 280 2.0× 266 2.2× 4 0.0× 32 1.8k
William H. Lawton United States 15 742 2.1× 253 0.8× 409 2.9× 188 1.5× 4 0.0× 28 1.7k
W. Wu Belgium 14 600 1.7× 50 0.2× 94 0.7× 152 1.2× 4 0.0× 19 981
Jerker Öhman Sweden 9 1.2k 3.5× 73 0.2× 321 2.3× 301 2.5× 6 0.1× 11 1.8k
Agnar Höskuldsson Denmark 17 1.4k 4.1× 264 0.9× 268 1.9× 302 2.5× 4 0.0× 44 2.4k
Stefan Rännar Sweden 17 402 1.2× 44 0.1× 152 1.1× 496 4.1× 3 0.0× 25 1.3k

Countries citing papers authored by Rolf Sundberg

Since Specialization
Citations

This map shows the geographic impact of Rolf Sundberg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rolf Sundberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf Sundberg more than expected).

Fields of papers citing papers by Rolf Sundberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rolf Sundberg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rolf Sundberg. The network helps show where Rolf Sundberg may publish in the future.

Co-authorship network of co-authors of Rolf Sundberg

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Sundberg. A scholar is included among the top collaborators of Rolf Sundberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rolf Sundberg. Rolf Sundberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sundberg, Rolf, et al.. (2024). Measuring use-wear striations on quartz. First results from an ongoing study. Journal of Archaeological Science Reports. 61. 104873–104873.
2.
Sundberg, Rolf, et al.. (2017). Lithic Raw Material Economy in the Mesolithic: An Experimental Test of Edged Tool Efficiency and Durability in Bone Tool Production. Lithic Technology. 42(4). 140–154. 3 indexed citations
3.
Sundberg, Rolf, et al.. (2012). Statistical framework for evaluation of climate model simulations by use of climate proxy data from the last millennium – Part 1: Theory. Climate of the past. 8(4). 1339–1353. 19 indexed citations
4.
Sundberg, Rolf, et al.. (2009). Non‐Gaussian state space models in decomposition of ice core time series in long and short time‐scales. Environmetrics. 21(6). 562–587. 3 indexed citations
5.
Löfberg, Robert, Alexander W. Gielen, Jan‐Olov Persson, et al.. (2008). Multigene Analysis Can Discriminate Between Ulcerative Colitis, Crohn's Disease, and Irritable Bowel Syndrome. Gastroenterology. 134(7). 1869–1881. 56 indexed citations
6.
Norén, G. Niklas, Rolf Sundberg, Andrew Bate, & I. Ralph Edwards. (2008). Correction. Statistics in Medicine. 27(29). 6271–6272. 1 indexed citations
7.
Norén, G. Niklas, Rolf Sundberg, Andrew Bate, & I. Ralph Edwards. (2008). A statistical methodology for drug–drug interaction surveillance. Statistics in Medicine. 27(16). 3057–3070. 135 indexed citations
8.
Sundberg, Rolf. (2008). A classical dataset from Williams, and its role in the study of supersaturated designs. Journal of Chemometrics. 22(7). 436–440. 4 indexed citations
9.
Yin, Li, et al.. (2006). Control of confounding through secondary samples. Statistics in Medicine. 25(22). 3814–3825. 1 indexed citations
10.
Östergren, Karin, et al.. (2005). Sensor fusion as a tool to monitor dynamic dairy processes. Journal of Food Engineering. 76(2). 154–162. 6 indexed citations
11.
Sundberg, Rolf. (2002). The convergence rate of the TM algorithm of Edwards & Lauritzen. Biometrika. 89(2). 478–483. 4 indexed citations
12.
Linder, Marie & Rolf Sundberg. (2002). Precision of prediction in second‐order calibration, with focus on bilinear regression methods. Journal of Chemometrics. 16(1). 12–27. 80 indexed citations
13.
Sundberg, Rolf. (2001). Comparison of confidence procedures for type I censored exponential lifetimes.. Lifetime Data Analysis. 7(4). 393–413. 12 indexed citations
14.
Sundberg, Rolf. (1993). Continuum Regression and Ridge Regression. Journal of the Royal Statistical Society Series B (Statistical Methodology). 55(3). 653–659. 38 indexed citations
15.
Brown, Philip J. & Rolf Sundberg. (1987). Confidence and Conflict in Multivariate Calibration. Journal of the Royal Statistical Society Series B (Statistical Methodology). 49(1). 46–57. 52 indexed citations
16.
Jensen, Eva B. Vedel, Adrian Baddeley, H. J. G. Gundersen, & Rolf Sundberg. (1985). Recent Trends in Stereology. International Statistical Review. 53(1). 99–99. 16 indexed citations
17.
Sundberg, Rolf. (1985). When is the inverse regression estimator MSE-superior to the standard regression estimator in multivariate controlled calibration situations?. Statistics & Probability Letters. 3(2). 75–79. 16 indexed citations
18.
Sundberg, Rolf. (1976). An iterative method for solution of the likelihood equations for incomplete data from exponential families. Communications in Statistics - Simulation and Computation. 5(1). 55–64. 52 indexed citations
19.
Sundberg, Rolf. (1974). On Estimation and Testing for the Folded Normal Distribution. Communications in Statistics - Simulation and Computation. 3(1). 55–72. 12 indexed citations
20.
Sundberg, Rolf. (1974). On estimation and testing for the folded normal distribution. Communication in Statistics- Theory and Methods. 3(1). 55–72. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026